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feature feature
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  “feature feature”译为未确定词的双语例句
     The Evolvement Rule and Variation Feature Feature of Complicated Seepage Flow Field
     复杂渗流场演变规律及转异特征研究
短句来源
     The basic theories including the definition, classification and representation of geometric feature are presented firstly. Based on the knowledge of feature, feature mining technology is defined.
     在反求工程的背景下,首先给出了特征的定义和分类,而后在此基础上结合数据挖掘思想定义了特征挖掘技术。
短句来源
     By using the ideasand theory of Marxism, I objectively analyze Noddings' care theory and point out its five characteristics: humanism feature, feminism feature, affective feature, feature of life, feature of era.
     在这一部分中.主要依据马克思主义的观点和理论对关心理论进行客观的分析,指出它所具有的五大特点:人本性、性别差异性、情感性、生活性、时代性。
短句来源
     Since parts information can be described entirely by feature, feature plays an important role in the modeling.
     在零件特征建模部分,用特征来描述零件信息。
短句来源
     2.The feature, feature representation and mapping technology are researched in this paper. Then the panel product definition model based on feature has been set up. From the point of design and manufacture, the shape features are classed.
     2.本文对特征、特征表示和特征映射技术进行了研究,建立了基于特征的覆盖件产品定义模型,从设计和制造的角度对覆盖件的形状特征进行了分类;
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  feature feature
The following table shows the testability features accessed through the TAP Testability Feature Feature.
      
Therefore, within a first level content page, optional News and Feature/Feature Links areas have been provided.
      


Based on the reliablity theory,a Method of Calculating the failure probability of the reinforced concrete Colums under the combined actions of bending moment and axial force when the applied laods are time-variant processes are presented.This method is to simplify the non linear frnction by piece linearization of the limit state equation and the use of Gaussian processes.An example is given to illustrate the Opproach,which shows the feasibility to simplify the calculation of the ontorossing rate and shows...

Based on the reliablity theory,a Method of Calculating the failure probability of the reinforced concrete Colums under the combined actions of bending moment and axial force when the applied laods are time-variant processes are presented.This method is to simplify the non linear frnction by piece linearization of the limit state equation and the use of Gaussian processes.An example is given to illustrate the Opproach,which shows the feasibility to simplify the calculation of the ontorossing rate and shows the stochastic feature feature of the bending moment and axial froce for the reinforced concrete colums.

本文利用可靠度理论的概率公式,并在结构失效概率计算技术的基础上,探讨了承受多种连续可变作用荷载过程的钢筋混凝土柱失效概率的计算技术,其具体方法是采用分段连续线性化极限状态方程,对非线性问题进行简化,这种方法可减少砼结构非线性分析的计算工作。对偏心受压的钢筋砼柱进行实例典型分析表明,采用线性化和高斯过程,得出的远交率的简单计算方法是可行的,并显示了作用荷载及其效应和结构抗力的随机性质。

The compiling schema and optimization strategies of a CLP system are discussed in this paper. The system is a multi-domain CLP system, based on interval arithmetic and constraint propagation as the unified constraint solving method for the discrete domain and real domain. This compiler can solve non-linear constraints based on an extended WAM instruction set. So far we have not found in literature any similar CLP system combining the three features features: multi-domain, non-linear constraints and compilation....

The compiling schema and optimization strategies of a CLP system are discussed in this paper. The system is a multi-domain CLP system, based on interval arithmetic and constraint propagation as the unified constraint solving method for the discrete domain and real domain. This compiler can solve non-linear constraints based on an extended WAM instruction set. So far we have not found in literature any similar CLP system combining the three features features: multi-domain, non-linear constraints and compilation.

描述了一个优化的约束逻辑程序设计(CLP)系统的编译方法和编译优化策略.该系统是一个多重论域的CLP系统,以区间算术和约束传播作为离散域和实数域上约束求解的统一方法,具有求解非线性约束的功能.实现为一个基于扩充的WAM指令集的编译系统.在国内外已有的CLP系统中,我们尚未见到同时具有多重论域,非线性约束求解和编译实现这3项特征的类似系统.

This paper presents an example based learning approach for locating human faces in complex scenes.The technique models the distribution of human face patterns by means of a few view based ″face″model clusters.At each image location,a difference feature vectors is computed between the local image pattern and the distribution based model.Based on the difference feature feature vector measurements,a trained classifier determines whether or not a human face exists at the current image location.

描述了一种基于示例学习的方法来检测具有复杂背景的图像中正面人脸的位置。这项技术使用了图像模型聚类的方式构造了人脸模式的分布。针对每一个图像 ,计算图像局部分布与基于分布的模板之间的特征矢量差异。然后基于这个差异 ,应用一个经过训练的分类器来判断图像当前位置是否有人脸存在

 
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